Cataract, Corneal Ectasia, Eye Diseases, Keratoconus
Conditions
Keywords
Keratoconus, Eye Diseases, Cataract, Corneal Imaging, Corneal Topography, Corneal Tomography, Corneal Ectasia
Brief summary
Monocentric clinical study to develop an imaging analysis algorithm for the Eyestar 900 to identify keratoconus corneas and improve biometry for intraocular lens calculations
Detailed description
Keratoconus is a progressive corneal ectatic disorder, characterised by thinning, protrusion and irregularity. Corneal imaging is crucial in keratoconus detection and progression analysis. Detection of keratoconus in early stages is important and has therapeutic consequence, whether to plan a surgical intervention or calculating an intraocular lens, before cataract surgery, as standard lens calculation techniques may lead to wrong results in patients with a keratoconus. The Eyestar 900 is a swept-source OCT biometer and has the potential to be used for early keratoconus identification and progression analysis.
Interventions
DEVICECorneal tomography with Eyestar 900
Non-invasive corneal tomography to develop an imaging analysis algorithm for keratoconus corneas
DEVICECorneal tomography with Pentacam
Non-invasive corneal tomography to develop an imaging analysis algorithm for keratoconus corneas
DEVICEBiometry with IOL-Master
Non-invasive biometry for presurgical intraocular lens calculation
OTHERretrospective analysis, no intervention
retrospective analysis of 4500 existing, fully anonymised picture data
Sponsors
Insel Gruppe AG, University Hospital Bern
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
1. Patients with all stages of keratoconus 2. Patients with healthy corneas
Exclusion criteria
1. Keratoconus patients with hydrops, status following hydrops 2. Patients with degenerative corneal diseases 3. Patients after corneal surgery
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Keratoconus identification | 2.5 years | Classification accuracy of the keratoconus identification algorithm for the Eyestar device in comparison to the gold standard (Belin-Ambrosio Enhanced Extasia Deviation Index) BAD\_D in Pentacam images. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Feasibility in clinical practice | 2.5 years | Evaluation of the feasibility (percentage of valid measurements without errors and/or problems in image aquisition) of cornea measurements in keratoconus and healthy eyes. |
Countries
Switzerland
Outcome results
None listed